Predictive Load Balancing

Predictive Load Balancing is a load balancing strategy that employs predictive modeling to anticipate future workload demands and resource utilization patterns, thereby proactively distributing tasks to optimize system performance and resource efficiency.

27

Publications

967

Citations

87

Authors

41

Institutions

Publications per year

2017–2026

8

Authors

87

  1. JC
    J. C. Phillips

    University of Illinois Urbana-Champaign, United States

    5 publications · 408 citations

    5

    h-index

  2. LV
    Laxmikant V. Kalé

    University of Illinois Urbana-Champaign, United States

    5 publications · 408 citations

    5

    h-index

  3. SK
    Sameer Kumar

    University of Illinois Urbana-Champaign, United States

    2 publications · 361 citations

    2

    h-index

  4. RK
    Robert K. Brunner

    University of Illinois Urbana-Champaign, United States

    2 publications · 35 citations

    2

    h-index

  5. GZ
    Gengbin Zheng

    University of Illinois Urbana-Champaign, United States

    2 publications · 361 citations

    2

    h-index

1–5 of 87

Venues

  1. Future Internet

    1 publications · 18 citations

    1

    h-index

  2. 1

    h-index

  3. Journal of Manufacturing Systems

    1 publications · 31 citations

    1

    h-index

  4. IEEE Transactions on Smart Grid

    1 publications · 27 citations

    1

    h-index

  5. Procedia Computer Science

    1 publications · 27 citations

    1

    h-index

1–5